Towards Interoperability Testing of Smart Energy Systems -- An Overview and Discussion of Possibilities
- URL: http://arxiv.org/abs/2411.03369v1
- Date: Tue, 05 Nov 2024 10:42:44 GMT
- Title: Towards Interoperability Testing of Smart Energy Systems -- An Overview and Discussion of Possibilities
- Authors: Thomas I. Strasser, Edmund Widl, René A. Kuchenbuch, Laura Lázaro-Elorriaga, Borja Tellado Laraudogoitia, Mirko Ginocchi, Thanakorn Penthong, Ferdinanda Ponci, Amelie Gyrard, Antonio Kung, Carlos A. Mac Gregor, Carmen Garcia Montero, Eduardo Relano Algaba,
- Abstract summary: With smart energy systems, interoperability faces challenges due to integrating differ-ent approaches and technologies.
This work analyses existing interoperability test concepts, identi-fies enablers and the potential for harmonisation of procedures.
- Score: 22.57425103682572
- License:
- Abstract: Interoperability is the key to implementing a wide range of energy systems applications. It involves the seamless cooperation of different methods and components. With smart energy systems, interoperability faces challenges due to integrating differ-ent approaches and technologies. This includes dealing with heterogeneous approaches with various communication proto-cols and data formats. However, it is essential for smart energy systems to carry out thorough interoperability tests. They are usually diverse, and challenging, thus requiring careful consideration of compatibility issues and complex integration scenari-os. Overcoming these challenges requires a systematic approach that includes thorough test planning, rigorous testing, and continuous test monitoring. Although numerous testing approaches exist, most are more developed at the component/device level than at the system level. Consequently, there are few approaches and related facilities to test the interoperability of smart energy approaches and solutions at the system level. This work analyses existing interoperability test concepts, identi-fies enablers and the potential for harmonisation of procedures, and proposes further developments of these approaches.
Related papers
- POGEMA: A Benchmark Platform for Cooperative Multi-Agent Navigation [76.67608003501479]
We introduce and specify an evaluation protocol defining a range of domain-related metrics computed on the basics of the primary evaluation indicators.
The results of such a comparison, which involves a variety of state-of-the-art MARL, search-based, and hybrid methods, are presented.
arXiv Detail & Related papers (2024-07-20T16:37:21Z) - A Survey on Context-Aware Multi-Agent Systems: Techniques, Challenges
and Future Directions [1.1458366773578277]
Research interest in autonomous agents is on the rise as an emerging topic.
The challenge lies in enabling these agents to learn, reason, and navigate uncertainties in dynamic environments.
Context awareness emerges as a pivotal element in fortifying multi-agent systems.
arXiv Detail & Related papers (2024-02-03T00:27:22Z) - Towards a Systematic Approach for Smart Grid Hazard Analysis and
Experiment Specification [0.09999629695552195]
It is important to identify potential losses and their root causes, ideally during system design.
Due to complexity, it may not possible to reason about the circumstances that could lead to a loss.
We present how two complementary deductive approaches can be usefully integrated to address these concerns.
arXiv Detail & Related papers (2023-09-14T11:49:13Z) - Asynchronous Integration of Real-Time Simulators for HIL-based
Validation of Smart Grids [0.08796261172196743]
This paper explores the possibilities that are opened in terms of testing by the integration of a real-time simulator into co-simulation environments.
Smart grid applications would typically include a relatively large number of physical devices, software components, as well as communication technology, all working hand in hand.
arXiv Detail & Related papers (2023-09-14T11:44:21Z) - A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects [100.75759050696355]
We provide a comprehensive overview of the prominent problems and advanced designs for conversational agent's proactivity in different types of dialogues.
We discuss challenges that meet the real-world application needs but require a greater research focus in the future.
arXiv Detail & Related papers (2023-05-04T11:38:49Z) - Interactive System-wise Anomaly Detection [66.3766756452743]
Anomaly detection plays a fundamental role in various applications.
It is challenging for existing methods to handle the scenarios where the instances are systems whose characteristics are not readily observed as data.
We develop an end-to-end approach which includes an encoder-decoder module that learns system embeddings.
arXiv Detail & Related papers (2023-04-21T02:20:24Z) - QuantumDynamics.jl: A modular approach to simulations of dynamics of
open quantum systems [0.0]
We present a new, open-source software framework, QuantumDynamics.jl.
It provides implementations of a variety of perturbative and non-perturbative methods for simulating the dynamics of quantum systems.
arXiv Detail & Related papers (2023-03-21T11:57:13Z) - Multi-Point Integrated Sensing and Communication: Fusion Model and
Functionality Selection [99.67715229413986]
This paper presents a multi-point ISAC (MPISAC) system that fuses the outputs from multiple ISAC devices for achieving higher sensing performance.
We adopt a fusion model that predicts the fusion accuracy via hypothesis testing and optimal voting analysis.
arXiv Detail & Related papers (2022-08-16T08:09:54Z) - Multi-Objective Constrained Optimization for Energy Applications via
Tree Ensembles [55.23285485923913]
Energy systems optimization problems are complex due to strongly non-linear system behavior and multiple competing objectives.
In some cases, proposed optimal solutions need to obey explicit input constraints related to physical properties or safety-critical operating conditions.
This paper proposes a novel data-driven strategy using tree ensembles for constrained multi-objective optimization of black-box problems.
arXiv Detail & Related papers (2021-11-04T20:18:55Z) - Energy-Efficient Multi-Orchestrator Mobile Edge Learning [54.28419430315478]
Mobile Edge Learning (MEL) is a collaborative learning paradigm that features distributed training of Machine Learning (ML) models over edge devices.
In MEL, possible coexistence of multiple learning tasks with different datasets may arise.
We propose lightweight algorithms that can achieve near-optimal performance and facilitate the trade-offs between energy consumption, accuracy, and solution complexity.
arXiv Detail & Related papers (2021-09-02T07:37:10Z) - Test and Evaluation Framework for Multi-Agent Systems of Autonomous
Intelligent Agents [0.0]
We consider the challenges of developing a unifying test and evaluation framework for complex ensembles of cyber-physical systems with embedded artificial intelligence.
We propose a framework that incorporates test and evaluation throughout not only the development life cycle, but continues into operation as the system learns and adapts.
arXiv Detail & Related papers (2021-01-25T21:42:27Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.